Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation.In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observations at the extent of Europe. The dataset includes spatial attributes such as: distance to roads, protected areas, country codes, and the habitat suitability of two spatially clustered species (grassland and forest species) and a wide-spread species.
Bibliographical note© 2016 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
- species distribution models
- virtual species
- habitat suitability
Garzon-Lopez, C., Bastin, L., Foody, G., & Rocchini, D. (2016). A virtual species set for robust and reproducible species distribution modelling tests. Data in Brief, 7, 476-479. https://doi.org/10.1016/j.dib.2016.02.058